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Testing of homogeneity in distributions with ordered categories.January 1995 (has links)
by Lee Chi-ming. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1995. / Includes bibliographical references (leaves 103-104). / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Three Underlying Distributions --- p.6 / Chapter 2.1 --- Exponential distribution --- p.8 / Chapter 2.1.1 --- Estimation of Thresholds --- p.8 / Chapter 2.1.2 --- Estimation of Parameter --- p.11 / Chapter 2.1.3 --- Simulation Study --- p.13 / Chapter 2.2 --- Normal distribution --- p.24 / Chapter 2.2.1 --- Estimation of Thresholds --- p.24 / Chapter 2.2.2 --- Estimation of Parameter --- p.26 / Chapter 2.2.3 --- Simulation Study --- p.29 / Chapter 2.3 --- Weibull distribution --- p.42 / Chapter 2.3.1 --- Estimation of Thresholds --- p.42 / Chapter 2.3.2 --- Estimation of Parameter --- p.44 / Chapter 2.3.3 --- Simulation Study --- p.46 / Chapter 3 --- Goodness-of-fit Test --- p.60 / Chapter 3.1 --- Test for the Exponential distribution --- p.63 / Chapter 3.2 --- Test for the Normal distribution --- p.66 / Chapter 3.3 --- Test for the Weibull distribution --- p.68 / Chapter 3.4 --- Implication --- p.70 / Chapter 3.5 --- An Artificial Example --- p.72 / Chapter 3.5.1 --- Case 1 (s= 3) --- p.72 / Chapter 3.5.2 --- Case 2 (s= 4) --- p.80 / Chapter 4 --- Real Data Illustration --- p.87 / Chapter 4.1 --- Test for the Exponential distribution --- p.90 / Chapter 4.2 --- Test for the Normal distribution --- p.91 / Chapter 4.3 --- Test for the Weibull distribution --- p.92 / Chapter 4.4 --- Inferences from the Exponential distribution --- p.94 / Chapter 4.5 --- Inferences from the Normal distribution --- p.95 / Chapter 4.6 --- Inferences from the Weibull distribution --- p.98 / Chapter 5 --- Conclusion --- p.101 / Bibliography --- p.103
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PSA testing, seasonal variation and relations to media in terms of prostate cancerEriksson, Linnéa January 2019 (has links)
No description available.
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Design-based and Model-assisted estimators using Machine learning methods : Exploring the k-Nearest Neighbor metod applied to data from the Recreational Fishing SurveyGard, Rikard January 2019 (has links)
No description available.
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On Curved Exponential FamiliesAngetun, Emma January 2019 (has links)
No description available.
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Estimation of the common mean of two normal disributionsYuan, Shi-Hwa January 2010 (has links)
Typescript (photocopy). / Digitized by Kansas Correctional Industries
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Non-parametric Estimation of the Effect of Financial Crisis on Swedish Local Governments Debt Maturity StructuresEhtasham Billah, Mohammad January 2019 (has links)
No description available.
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Kvantifiering av svenska elevers attityd till matematik : En studie av indexkonstruktionens betydelseAnnersten, Filippa January 2017 (has links)
No description available.
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A data-driven bandwidth selector for estimating conditional density function.January 2003 (has links)
Yim Tsz-ho. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 47-49). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.iii / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Local Polynomial Modeling --- p.4 / Chapter 2.1 --- Local Polynomial Fitting --- p.4 / Chapter 2.1.1 --- Methodology --- p.4 / Chapter 2.1.2 --- The kernel K --- p.6 / Chapter 2.1.3 --- The bandwidth h --- p.7 / Chapter 2.1.4 --- The order p --- p.10 / Chapter 2.2 --- Estimation of Conditional Density --- p.11 / Chapter 3 --- Bandwidth Selection --- p.14 / Chapter 3.1 --- Rule of Thumb --- p.14 / Chapter 3.2 --- Bootstrap Bandwidth Selection --- p.15 / Chapter 3.3 --- A Cross-Validation Method --- p.16 / Chapter 4 --- A Theoretical Justification --- p.18 / Chapter 4.1 --- Proof of (4.1) --- p.19 / Chapter 4.2 --- Proof of (4.2) --- p.22 / Chapter 5 --- Simulation Studies --- p.25 / Chapter 6 --- Real Data Applications --- p.38 / Chapter 6.1 --- Case Study With Canadian Lynx Data.............................. --- p.38 / Chapter 6.2 --- Case Study With U.S. Twelve-Month Treasury Bill Data.......... --- p.41 / Chapter 7 --- Conclusions --- p.45 / Bibliography --- p.47
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Type 1 error rate and significance levels when using GARCH-type modelsGyldberg, Ellinor, Bark, Henrik January 2019 (has links)
The purpose of this thesis is to test whether the probability of falsely rejecting a true null hypothesis of a model intercept being equal to zero is consistent with the chosen significance level when modelling the variance of the error term using GARCH (1,1), TGARCH (1,1) or IGARCH (1,1) models. We test this by estimating “Jensen’s alpha” to evaluate alpha trading, using a Monte Carlo simulation based on historical data from the Standard & Poor’s 500 Index and stocks in the Dow Jones Industrial Average Index. We evaluate over simulated daily data ranging over periods of 3 months, 6 months, and 1 year. Our results indicate that the GARCH and IGARCH consistently reject a true null hypothesis less often than the selected 1%, 5%, or 10%, whereas the TGARCH consistently rejects a true null more often than the chosen significance level. Thus, there is a risk of incorrect inferences when using these GARCH-type models.
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The efficiency of the Swedish stock market : An empirical evaluation of all stocks listed on the OMX30Lönnquist, Anders January 2019 (has links)
No description available.
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